Vice President (AI Solutions Architect)

Golub Capital • New York, NY

17h • $115,000 - $180,000

About The Position

Golub Capital is seeking a Vice President, Applied AI Solutions to lead the practical application of artificial intelligence across the Firm. Working closely with business leaders and the AI Business Transformation Team, this role identifies and shapes high-impact AI opportunities, translates business needs into scalable solution designs, and provides architectural guidance from concept through implementation. The role applies expertise in AI technologies, enterprise architecture, process design and the Firm’s technology ecosystem to establish reusable patterns, standards and capabilities that support AI adoption while aligning solutions with business objectives, security requirements, operational standards and long-term outcomes.

The position assesses business needs and the Firm’s technology landscape, then recommends fit-for-purpose approaches, including use of existing enterprise capabilities, configuration or extension of approved platforms, custom development, or non-AI alternatives. It designs secure, scalable AI and agentic architectures that combine probabilistic AI with deterministic rules, workflows and controls. It also evaluates feasibility and tradeoffs, validates novel assumptions through prototypes, prepares implementation-ready technical documentation, and remains engaged through engineering handoff, implementation and production release.

The role further develops reusable AI patterns, reference architectures, design standards, accelerators and evaluation methods; identifies gaps in enterprise platforms and recommends scalable capabilities; and stays current with developments in generative AI, agentic systems, models, platforms and architecture practices. The position is part of the Technology Solutions Department, which designs and delivers technology solutions, manages cybersecurity and related technology functions, and collaborates with Firm leadership and business unit heads to support business objectives.

Requirements

• Bachelor’s degree in computer science, engineering, information systems, data science or a related field.
• At least 10 years of experience in solution architecture, software engineering, AI/ML engineering, enterprise application design, technology consulting or a related discipline, including guiding complex solutions from discovery through production.
• Ability to partner with business stakeholders, uncover underlying needs, translate ambiguous problems into clear solution designs, challenge assumptions and build consensus across business and technology teams.
• Deep expertise in applied generative AI architecture, including large language models, agentic and multi-agent patterns, retrieval-augmented generation, context engineering, knowledge grounding, prompt and tool design, orchestration and human-in-the-loop controls.
• Strong command of modern AI architecture patterns and open standards, including Model Context Protocol and related approaches for connecting models, agents, tools, data and enterprise services.
• Experience designing hybrid solutions that combine probabilistic AI with deterministic software, workflows and rules according to use-case needs for reliability, control and explainability.
• Experience assessing enterprise technology landscapes, mapping use cases to existing platform capabilities and recommending reusable, standards-aligned extensions when capabilities do not fully meet business needs.
• Experience developing implementation-ready architectures and guiding solutions through engineering handoff, build, testing and production release, including resolving design questions as technical findings emerge.
• Deep knowledge of Microsoft’s AI and data ecosystem, including Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Microsoft 365 Copilot, Power Platform and Fabric, and judgment about when to configure, extend or build beyond existing capabilities.
• Strong understanding of enterprise data and integration patterns, including APIs, event-driven integration, structured and unstructured data, enterprise search, vector databases, data ingestion, storage, retrieval and grounding.
• Working knowledge of cloud and application architecture, identity and access management, information security, privacy, responsible AI, observability, reliability, performance, supportability and cost management.
• Experience defining and applying AI evaluation methods for groundedness, accuracy, safety, reliability, latency, user experience and operating cost to inform design and production-readiness decisions.
• Sufficient hands-on engineering capability to develop targeted prototypes, evaluate implementation approaches and collaborate credibly with engineering teams.
• Exceptional analytical, problem-solving and communication skills, including translating complex AI capabilities, constraints and architecture decisions into clear business terms.
• Ability to lead complex initiatives through influence and collaborate across business teams, AI Business Transformation, architecture, engineering, data, security, risk and delivery functions.
• Demonstrated ability to use AI tools effectively in day-to-day work and critically assess accuracy, limitations and appropriate use of AI-generated outputs.
• Enthusiasm for working in an office and creating a Gold Standard hybrid work culture.

Nice To Haves

• Advanced degree or equivalent depth of professional experience.
• Proficiency in Python or another modern programming language.

Responsibilities

• Partner with the AI Business Transformation team and business stakeholders to understand prioritized opportunities, operating context, problems, desired outcomes, process constraints and user needs.
• Lead discovery and solution-design sessions, challenge assumptions, reframe requirements around intended outcomes, and build stakeholder consensus on recommended approaches.
• Translate business outcomes and future-state processes into practical AI solution concepts, target-state workflows and implementation-ready architectures.
• Assess the Firm’s technology landscape and determine whether to use existing enterprise capabilities, configure or extend approved platforms, build custom AI solutions, or pursue non-AI alternatives.
• Design secure, scalable AI and agentic architectures that integrate probabilistic AI with deterministic rules, workflows and controls, including models, data, grounding, enterprise context, tools, integrations, permissions, human oversight and observability.
• Evaluate solution feasibility and tradeoffs across business fit, user experience, data readiness, technical complexity, security, reliability, supportability, performance and cost; provide clear recommendations.
• Identify high-risk or novel assumptions that require prototypes, demonstrations or technical spikes; partner with prototyping resources to validate them and develop targeted prototypes when appropriate.
• Produce architecture specifications, diagrams, decision records, interface definitions and technical requirements for engineering teams.
• Lead engineering handoff and remain engaged through implementation and production release to resolve design questions, incorporate technical findings and maintain alignment with business outcomes, approved architecture and Firm standards.
• Identify enterprise platform and reusable-capability gaps and recommend standards-aligned services, integrations, controls and architecture patterns for emerging use cases.
• Develop and maintain reusable AI patterns, reference architectures, design standards, accelerators, agent skills, harnesses and evaluation methods.
• Develop and apply criteria for evaluating AI model and system quality, safety, reliability, performance and cost to guide design and production-readiness decisions.
• Monitor advances in generative AI, agentic systems, models, platforms, open standards and architecture practices, and translate relevant developments into practical recommendations for the Firm.

Benefits

• Full range of medical, financial and other benefits, depending on the position offered.
• 401(k) eligibility.
• Paid time off benefits, including vacation and sick time.
• Parental leave.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior